cp

MUSIC算法[1]是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。(MUSIC algorithm [1] is a feature space based on matrix decomposition method. From the geometric point of view, the signal processing can be decomposed observation space the signal subspace and the noise subspace, it is clear that the two spaces are orthogonal. Signal Subspace data received by the array covariance matrix and eigenvectors corresponding to the signal component, the noise subspace from the covariance matrix of all the smallest eigenvalue (noise variance) eigenvector components.)

首先，打开MATLAB编辑器,输入该文件中程序码，把文件保存到MATLAB当前目录并命名为zhuangxiang.m,只需在命令窗口中输入zhuangxiang,按回车键，根据提示输入，便可解决贪心算法中货船装箱问题，以求得最优解。 (First of all, open the MATLAB editor, enter the file, program code, save the file to the MATLAB current directory and named zhuangxiang.m, simply type in the command window zhuangxiang, press the Enter key, according to prompts can be solved by greedy algorithm cargo bin-packing problem, in order to achieve the optimal solution.)

this file present FDI Benchmark for windturbine

基于最小二乘算法的SGP4轨道预报精度分析程序。(Precision analysis of SGP4 model based on Least Squares method.)

牛顿环 杨氏双缝的MATLAB代码，很实用，很准确(Young' s double-slit Newton ring MATLAB code, very practical, very accurate)

多无人机协同侦查、任务分配、智能决策仿真(MultiUAV cooperations control)

核密度估计的parzen窗法，简单易用，适合于初学非参数估计的用户。(Kernel Density Estimation parzen window method, easy to use, suitable for novice non-parametric estimation of the user.)

在MATLAB的平台下，制作矢量场的实验代码，简明易懂(test codes making the vector field on the platform of matlab, simple and clear!)

说明：  matlab实现的超宽带无线网络的仿真。(matlab achieve ultra-broadband wireless network simulation.)

. The reference simulator can be used to measure and plot the network capacity performance and signal to interference ratio (SIR) performance of LTE networks with the integer frequency reuse scheme with reuse factor 1 (IFR-1). Frequency reuse scheme with reuse factor 1 means that the available frequency resource is used by all the cells in the LTE network. You are advised to refer to the relevant slides of lecture 5 to get more information on the method used to calculate the SIR and capacity performances. The system level LTE is consisted of two Matlab script files (LTE_main.m, LTE_configuration.m), three Matlab function files (LTE_IFR_sim_dist.m, LTE_IFR_sim_netwide.m, LTE_IFR_plot.m) and one Matlab mat file (bs_user_position.mat).